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Computer Science 논문 리뷰
Computer Science 분야 주요 연구 논문을 연구 동기·방법·결과로 구조화한 AI 논문 리뷰 목록입니다.
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필터
9999+개의 결과
EfficientNet: Rethinking Model Scaling for Convolutional Neural Networks
Mingxing Tan, Quoc V. Le
arXiv (Cornell University)
|
2019
|
5,012 회 인용
Deep Inside Convolutional Networks: Visualising Image Classification Models and Saliency Maps
Karen Simonyan, Andrea Vedaldi 외 1명
arXiv (Cornell University)
|
2013
|
4,905 회 인용
An overview of gradient descent optimization algorithms
Sebastian Ruder
arXiv (Cornell University)
|
2016
|
4,784 회 인용
mixup: Beyond Empirical Risk Minimization
Hongyi Zhang, Moustapha Cissé 외 2명
arXiv (Cornell University)
|
2017
|
4,731 회 인용
Deep Residual Learning for Image Recognition
Kaiming He, Xiangyu Zhang 외 2명
arXiv (Cornell University)
|
2015
|
4,626 회 인용
DistilBERT, a distilled version of BERT: smaller, faster, cheaper and lighter
Victor Sanh, Lysandre Debut 외 2명
arXiv (Cornell University)
|
2019
|
4,569 회 인용
Encoder-Decoder with Atrous Separable Convolution for Semantic Image Segmentation
Liang-Chieh Chen, Yukun Zhu 외 3명
arXiv (Cornell University)
|
2018
|
4,542 회 인용
Attention U-Net: Learning Where to Look for the Pancreas
Ozan Oktay, Jo Schlemper 외 10명
arXiv (Cornell University)
|
2018
|
4,524 회 인용
Generative Adversarial Networks
Ian Goodfellow, Jean Pouget-Abadie 외 6명
arXiv (Cornell University)
|
2014
|
4,518 회 인용
Empirical Analysis of Predictive Algorithms for Collaborative Filtering
John S. Breese, David Heckerman 외 1명
arXiv (Cornell University)
|
2013
|
4,510 회 인용
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